code: def test_classifier_class_weight_iris(class_weight):
      _compare_with_sklearn_classifier_iris(
          class_weight=class_weight,
          description="Classifier class weight: ",
      )
  
file_path: scikit-learn-intelex/daal4py/sklearn/ensemble/tests/test_decision_forest.py
imports: import random
  import numpy
  import pytest
  from sklearn.datasets import load_iris
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.metrics import accuracy_score, log_loss, mean_squared_error, roc_auc_score
  from sklearn.model_selection import train_test_split
  from daal4py.sklearn._utils import daal_check_version
  from daal4py.sklearn.ensemble import RandomForestClassifier
  from daal4py.sklearn.ensemble import RandomForestRegressor
label_desc: Use image node_id 2 for calling a global function with example usage: test_classifier_class_weight_iris(class_weight) without return types